Research on Intelligent Guidance Method for Vehicles in High-Speed Railway Station Based on GNSS Indoor Positioning

With the increasing complexity of the environment in high-speed railway stations and the growing demand for in-station navigation and location services, it is critical to investigate an accurate and dependable intelligent guidance system for cars in the in-station network. This paper intends to use GNSS indoor satellite base station positioning system and an indoor navigation path planning method based on improved A* algorithm to realize mutual intelligent guidance between passengers in the station and the network car by analyzing the technical status and existing problems of indoor positioning and path planning, combined with the actual situation in high-speed railway station. To begin, the indoor satellite positioning system is deployed, and satellite analog signals are broadcast to provide positioning services for general navigation and positioning terminals, resulting in accurate station positioning. The search efficiency of the A* algorithm is then improved by optimizing the search strategy and heuristic function of the traditional A* algorithm. The path length is reduced by optimizing redundant nodes. The actual verification shows that the improved A* algorithm has a 5% shorter path length than the traditional A* algorithm. When compared to the traditional A* algorithm, the improved A* algorithm can save more than 60% of the planning time. Finally, network car driver and passenger services will be provided to guide passengers and drivers to the best possible position to board the bus quickly and intelligently.